Open AccessINTERPRETATION OF NEURAL NETWORK TECHNOLOGIES FOR PREDICTION AND MANAGEMENT OF RISK FACTORS
Author(s) -
Володимир Петрович Харченко,
Oleh Alexeiev
Publication year - 2010
Publication title -
aviation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.239
H-Index - 13
eISSN - 1822-4180
pISSN - 1648-7788
DOI - 10.3846/aviation.2010.03
Subject(s) - artificial neural network , probabilistic logic , engineering , flight safety , operations research , reliability engineering , computer science , artificial intelligence , aeronautics
The analysis carried out, as well as the systematisation and generalisation of flight safety problems, has allowed us to propose a model for a flight safety management system and to define directions for priority research. To solve flight safety problems, it is suggested to use the integrated methods of flight safety management on the basis of basic and partial criteria totality, where it is possible to take into account simultaneously the probabilistic indices of the system and informative indices, which are connected by means of using neural networks. Santrauka Atliktas tyrimas, taip pat skrydžio saugumo problemu susisteminimas bei apibendrinimas leido numatyti skrydžiu saugumo valdymo sistemos tobulinimo kelius, nustatyti prioritetines ju tyrimo kryptis. Siekiant užtikrinti skrydžiu sauguma, siūloma taikyti integruotus skrydžiu saugumo valdymo metodus, kurie remiasi baziniu bei daliniu kriteriju visuma; čia galima kartu ivertinti sistemos tikimybinius bei informacinius duomenis, kuriu jungiamaja grandimi yra neuroniniai tinklai.